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Ali Baluwala – 726072
Ahmed Aseem - 728459
Research Supervisor – Dr. Lihai Zhang
Secondary Supervisor – Saeed Miramini
1
2
NDT is a method of on-site assessment of various engineering constructions using
different instruments. The results obtained from this instruments are then
interpreted to determine the various parameters such as positioning of
reinforcement, corrosion, voids in concrete, compressive strength, deflection etc.
3
1) Ground Penetration Radar (GPR)
2) Ultra Sonic Pulse Velocity (UPV)
3) CORMAP
4) ARAMIS
4
• 1 x IDS GPR Aladdin TR BIP 2GHz Antenna
and equipment cables
• 1 x DAD FastWave control unit
• 1 x 12.6V Car Battery with converting cables
• 1 x Panasonic Toughbook loaded with IDS
K2 FastWave, GRED HD Software and
charger
5
• Determine the position of Reinforcement bars in Concrete
• Determine the depth of Structural Elements
• Identifying the subsurface utilities
• Identify different anomalies (i.e. Voids, Honeycombing etc.) in the Concrete
• Getting an idea about the moisture content
• Modelling of Results using GRED HD software for ease of data interpretation
6
• Casting of Sample with known irregularities
• Validating Results with GPR
• Testing on Actual Bridge/Structure
7
Sample of size (300 x 300 x 200) mm was casted.
Reinforcement – 7.6mm diameter positioned at 50 mm from top running in both direction.
8
9
• Sample too small, difficult to understand the result.
• Large sample required.
10
• After consulting our supervisor we came with an idea of using the concrete
lab floor slab as a test sample.
• Prepare a 1m x 1m Grid with 100mm spacing
• Equipment Calibration
• Scans in both transverse and lateral direction to prepare a 3D Model
11
• Scanning was done in both lateral and longitudinal direction,
the results are shown below.
12
13
14
• 13 Reo bars with 25mm diameter in Longitudinal Direction @250mm
• Varying Profile of Reinforcement of bars due to Slab Junction
• 6 Reo bars with 25mm diameter in Transverse Direction
• High Region of Moisture Content detected
• Depth of 300mm was scanned out of 1200mm using 2GHZ antennae
15
16
17
18
• Pedestrian bridge located on the intersection of Swanston and Elgin was
selected for the assessment.
• Assumptions
• 500mm x 500mm Grid
• 100 mm Spacing
19
• 8 Bars in Transverse Direction
• Bar Diameter of 30mm
• Bar Spacing of 125mm
• No Serious Voids/Moisture Content Detected
• Cover of 65mm to Bar
20
• 4 Bars in Longitudinal Direction per 1m Scan
• Bar Diameter of 30mm
• Spacing increased to 250mm
• No Serious Voids/Moisture Content Detected
• Cover of 30mm to Bar
21
• Lesser spacing of Transverse Reinforcement shows the bridge is heavily
reinforced
22
• Exact location of Reinforcement Bars
• Physical properties of bars, cover and spacing
• Depth of Structural Elements
• Region of voids and moisture Contents
23
• We would like to acknowledge our supervisor Dr. Lihai Zhang and Dr.
Saeed Miramini for their support through out the project. Also, we would
like to appreciate help and support provided by;
• Prof. Priyan Mendis
• Mr. Ruben Barnes
• Mr. Aamir Orangi
• Department of Space Management, The University of Melbourne
• Department of Infrastructure Engineering, The University of
Melbourne
24

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Non Destructive Testing Using GPR

  • 1. Ali Baluwala – 726072 Ahmed Aseem - 728459 Research Supervisor – Dr. Lihai Zhang Secondary Supervisor – Saeed Miramini 1
  • 2. 2 NDT is a method of on-site assessment of various engineering constructions using different instruments. The results obtained from this instruments are then interpreted to determine the various parameters such as positioning of reinforcement, corrosion, voids in concrete, compressive strength, deflection etc.
  • 3. 3 1) Ground Penetration Radar (GPR) 2) Ultra Sonic Pulse Velocity (UPV) 3) CORMAP 4) ARAMIS
  • 4. 4 • 1 x IDS GPR Aladdin TR BIP 2GHz Antenna and equipment cables • 1 x DAD FastWave control unit • 1 x 12.6V Car Battery with converting cables • 1 x Panasonic Toughbook loaded with IDS K2 FastWave, GRED HD Software and charger
  • 5. 5 • Determine the position of Reinforcement bars in Concrete • Determine the depth of Structural Elements • Identifying the subsurface utilities • Identify different anomalies (i.e. Voids, Honeycombing etc.) in the Concrete • Getting an idea about the moisture content • Modelling of Results using GRED HD software for ease of data interpretation
  • 6. 6 • Casting of Sample with known irregularities • Validating Results with GPR • Testing on Actual Bridge/Structure
  • 7. 7 Sample of size (300 x 300 x 200) mm was casted. Reinforcement – 7.6mm diameter positioned at 50 mm from top running in both direction.
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  • 9. 9 • Sample too small, difficult to understand the result. • Large sample required.
  • 10. 10 • After consulting our supervisor we came with an idea of using the concrete lab floor slab as a test sample. • Prepare a 1m x 1m Grid with 100mm spacing • Equipment Calibration • Scans in both transverse and lateral direction to prepare a 3D Model
  • 11. 11 • Scanning was done in both lateral and longitudinal direction, the results are shown below.
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  • 14. 14 • 13 Reo bars with 25mm diameter in Longitudinal Direction @250mm • Varying Profile of Reinforcement of bars due to Slab Junction • 6 Reo bars with 25mm diameter in Transverse Direction • High Region of Moisture Content detected • Depth of 300mm was scanned out of 1200mm using 2GHZ antennae
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  • 18. 18 • Pedestrian bridge located on the intersection of Swanston and Elgin was selected for the assessment. • Assumptions • 500mm x 500mm Grid • 100 mm Spacing
  • 19. 19 • 8 Bars in Transverse Direction • Bar Diameter of 30mm • Bar Spacing of 125mm • No Serious Voids/Moisture Content Detected • Cover of 65mm to Bar
  • 20. 20 • 4 Bars in Longitudinal Direction per 1m Scan • Bar Diameter of 30mm • Spacing increased to 250mm • No Serious Voids/Moisture Content Detected • Cover of 30mm to Bar
  • 21. 21 • Lesser spacing of Transverse Reinforcement shows the bridge is heavily reinforced
  • 22. 22 • Exact location of Reinforcement Bars • Physical properties of bars, cover and spacing • Depth of Structural Elements • Region of voids and moisture Contents
  • 23. 23 • We would like to acknowledge our supervisor Dr. Lihai Zhang and Dr. Saeed Miramini for their support through out the project. Also, we would like to appreciate help and support provided by; • Prof. Priyan Mendis • Mr. Ruben Barnes • Mr. Aamir Orangi • Department of Space Management, The University of Melbourne • Department of Infrastructure Engineering, The University of Melbourne
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